TU2.L2.2
3D Printed Radiofrequency Sensing System For Robotic Applications
Armin Gharibi, University of pisa, Italy; Mahmoud Tavakoli, André F. Silva, University of Coimbra, Portugal; Filippo Costa, Simone Genovesi, University of Pisa, Italy
Session:
TU2.L2: Wireless technologies for Industrial Applications Oral
Track:
RFID for Industry 4.0 and for Smart Cities
Location:
Room 2
Presentation Time:
Tue, 5 Sep, 12:00 - 12:20 Portugal Time
Abstract
This study presents a system for detecting the location of a robotic hand on a planar surface. The system uses a radiofrequency (RF) probe attached to the robotic hand and printed resonators on the object surface to detect the hand's orientation. The system employs an ad-hoc designed coplanar antenna with a ground plane for the probe and bent dipole resonators of various sizes on the surface. The sensing is performed within a close range along one direction. The system is numerically designed and then fabricated using a 3D printer and patented conductive ink. Measurements are carried out to assess the simulated results. The proposed probe-resonator configuration allows for the identification of the hand's location relative to the resonators on the work surface with a promising level of accuracy.
Presentation
Discussion
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Session TU2.L2
TU2.L2.1: A 920 MHz UHF RFID Tag Antenna Produced by Drop Casting Ti3C2Tx MXene
Omid Niksan, University of British Columbia, Canada; Lingyi Bi, Yury Gogotsi, Drexel University, United States of America; Mohammad H. Zarifi, The University of British Columbia, Canada
TU2.L2.2: 3D Printed Radiofrequency Sensing System For Robotic Applications
Armin Gharibi, University of pisa, Italy; Mahmoud Tavakoli, André F. Silva, University of Coimbra, Portugal; Filippo Costa, Simone Genovesi, University of Pisa, Italy
TU2.L2.3: Spread Spectrum Modulated mm-Wave Tag for V2X Applications
Antonio Lazaro, Ramon Villarino, Marc Lazaro, David Gribau, Universitat Rovira i Virgili, Spain
TU2.L2.4: SAW-RFID SENSORS FOR INDUSTRIAL APPLICATIONS
Sami Hage-Ali, Prince Mengue, Baptiste Paulmier, Jordan Maufay, Ulrich Youbi, Cécile Floer, Hamid M'Jahed, Thierry Aubert, Omar Elmazria, Université de Lorraine, CNRS, France